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Influence of internal variability on population exposure to hydroclimatic changes
Justin S Mankin1,2,3,4,5, Daniel Viviroli6, Mesfin M Mekonnen7
1Lamont-Doherty Earth Observatory of Columbia University, New York, NY, United States of America.
Future water stress will impact billions due to climate change and internal variability. Irreducible uncertainty from climate system dynamics significantly affects projections of hydroclimatic deficits.
Area of Science:
- Climate Science
- Hydrology
- Environmental Science
Background:
- Future freshwater availability and human water demand face uncertainties from consumption patterns and internal climate variability.
- Internal climate variability can obscure climate-driven hydroclimatic changes over decadal and continental scales.
Purpose of the Study:
- To quantify the likelihood of global population exposure to increased hydroclimatic deficits by 2060.
- To assess the impact of irreducible uncertainty from internal climate variability on water resource projections.
Main Methods:
- Utilized three population growth projections and a large ensemble Earth system model.
- Assumed stationary per capita water consumption to define hydroclimatic deficits (evapotranspiration exceeding precipitation).
- Quantified probabilities of population exposure to increased hydroclimatic deficits.
Main Results:
- By 2060, 31-35% of the global population may face >50% probability of hydroclimatic deficit increases exceeding storage; up to 9% face >90% probability.
- Internal variability creates substantial uncertainty, with 86-91% of people living in regions where uncertainty spans both deficit increases and decreases.
- Changes in exposure to large deficits can range from -3% to +6% of the global population due solely to internal variability.
Conclusions:
- Irreducible uncertainty from internal climate variability is critical for climate risk management and adaptation.
- Accurate risk assessment requires accounting for the full spectrum of potential hydroclimatic changes, not just forced trends.
- Under-sampling internal variability in water resource projections can lead to significant misestimations of future water stress.
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